An Automatically Improving Method for Generating Descriptions of Financial Data Quality Grading with LLMs
An automated, automatically improving framework for describing financial data quality grades at arbitrary levels is proposed, which first train a financial classifier to categorize data into multiple quality grades, with the theoretical capability to support arbitrary grading levels.
Yang Zhao, Yohei Ikawa, Bishwaranjan Bhattacharjee
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